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Caviedes, Sofía; de Gamboa, Genaro; Badillo, Edelmira – Journal on Mathematics Education, 2023
Studies that address preservice teachers' knowledge of area measurement emphasize their lack of knowledge and their tendency towards the use of formulas, without offering a body of knowledge that helps to address such difficulties. This study offers an approximation of the mathematical knowledge necessary for preservice teachers to solve area…
Descriptors: Mathematics Instruction, Problem Solving, Preservice Teachers, Pedagogical Content Knowledge
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Guo, Hongwen – ETS Research Report Series, 2017
Data collected from online learning and tutoring systems for individual students showed strong autocorrelation or dependence because of content connection, knowledge-based dependency, or persistence of learning behavior. When the response data show little dependence or negative autocorrelations for individual students, it is suspected that…
Descriptors: Data Collection, Electronic Learning, Intelligent Tutoring Systems, Information Utilization
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Samuels, Michael – International Journal of Mathematical Education in Science and Technology, 2004
In insurance, the analyst is often faced with a large number of inter-related variables for which correlations need to be estimated. Clearly, all correlations lie in the interval [-1, 1], but the numbers cannot be assigned independently. Here, the choices left to the analyst are considered from both a geometric and a probabilistic viewpoint. In…
Descriptors: Insurance, Geometric Concepts, Probability, Correlation
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Ayoub, Ayoub B. – Mathematics and Computer Education, 2006
In this article, the author takes up the special trinomial (1 + x + x[squared])[superscript n] and shows that the coefficients of its expansion are entries of a Pascal-like triangle. He also shows how to calculate these entries recursively and explicitly. This article could be used in the classroom for enrichment. (Contains 1 table.)
Descriptors: Geometric Concepts, Correlation, Mathematical Formulas, Mathematics